/build/buildd/viennacl-1.1.2/viennacl/io/matrix_market.hpp

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/* =======================================================================
   Copyright (c) 2010, Institute for Microelectronics, TU Vienna.
   http://www.iue.tuwien.ac.at
                             -----------------
                     ViennaCL - The Vienna Computing Library
                             -----------------
                            
   authors:    Karl Rupp                          rupp@iue.tuwien.ac.at
               Florian Rudolf                     flo.rudy+viennacl@gmail.com
               Josef Weinbub                      weinbub@iue.tuwien.ac.at

   license:    MIT (X11), see file LICENSE in the ViennaCL base directory
======================================================================= */


#ifndef _VIENNACL_MATRIX_MARKET_HPP_
#define _VIENNACL_MATRIX_MARKET_HPP_

#include <algorithm>
#include <string>
#include <iostream>
#include <fstream>
#include <sstream>
#include <vector>
#include <map>
#include <cctype>
#include "viennacl/tools/adapter.hpp"

namespace viennacl
{
  namespace io
  {
    //helper
    namespace
    {
      void trim(char * buffer, long max_size)
      {
        //trim at beginning of string
        long start = 0;
        for (long i=0; i<max_size; ++i)
        {
          if (buffer[i] == ' ')
            ++start;
          else
            break;
        }

        //trim at end of string
        long stop = start;
        for (long i=stop; i<max_size; ++i)
        {
          if (buffer[i] == 0)   //end of string
            break;
          
          if (buffer[i] != ' ')
            stop = i;
        }

        for (long i=0; i<=stop - start; ++i)
        {
          buffer[i] = buffer[start + i];
        }
        
        if (buffer[0] != ' ')
          buffer[stop - start + 1] = 0; //terminate string
        else
          buffer[0] = 0;
      }      
      
      std::string tolower(std::string & s)
      {
        std::transform(s.begin(), s.end(), s.begin(), static_cast < int(*)(int) > (std::tolower));
        return s;
      }
      
      
      
    } //namespace 
    
    
    template <typename MatrixType>
    long read_matrix_market_file_impl(MatrixType & mat,
                                      const char * file,
                                      long index_base)
    {
      std::cout << "Reading matrix market file" << std::endl;
      char buffer[1025];
      std::ifstream reader(file);
      std::string token;
      long linenum = 0;
      bool symmetric = false;
      bool dense_format = false;
      bool is_header = true;
      long cur_row = 0;
      long cur_col = 0;
      long valid_entries = 0;
      long nnz = 0;

      
      if (!reader){
        std::cerr << "ViennaCL: Matrix Market Reader: Cannot open file " << file << std::endl;
        return 0;
      }
      
      while (reader.good())
      {
        // get a non-empty line
        do
        {
          reader.getline(buffer, 1024);
          ++linenum;
          trim(buffer, 1024);
        }
        while (reader.good() && buffer[0] == 0);
        
        if (buffer[0] == '%')
        {
          if (buffer[1] == '%')
          {
            //parse header:
            std::stringstream line(std::string(buffer + 2));
            line >> token;
            if (tolower(token) != "matrixmarket")
            {
              std::cerr << "Error in file " << file << " at line " << linenum << " in file " << file << ": Expected 'MatrixMarket', got '" << token << "'" << std::endl;
              return 0;
            }

            line >> token;
            if (tolower(token) != "matrix")
            {
              std::cerr << "Error in file " << file << " at line " << linenum << " in file " << file << ": Expected 'matrix', got '" << token << "'" << std::endl;
              return 0;
            }

            line >> token;
            if (tolower(token) != "coordinate")
            {
              if (tolower(token) == "array")
              {
                dense_format = true;
                std::cerr << "Error in file " << file << " at line " << linenum << " in file " << file << ": 'array' type is not supported yet!" << std::endl;
                return 0;
              }
              else
              {
                std::cerr << "Error in file " << file << " at line " << linenum << " in file " << file << ": Expected 'array' or 'coordinate', got '" << token << "'" << std::endl;
                return 0;
              }
            }

            line >> token;
            if (tolower(token) != "real")
            {
              std::cerr << "Error in file " << file << ": The MatrixMarket reader provided with ViennaCL supports only real valued floating point arithmetic." << std::endl;
              return 0;
            }

            line >> token;
            if (tolower(token) == "general"){ }
            else if (tolower(token) == "symmetric"){ symmetric = true; }
            else
            {
              std::cerr << "Error in file " << file << ": The MatrixMarket reader provided with ViennaCL supports only general or symmetric matrices." << std::endl;
              return 0;
            }
            
          }
        }
        else
        {
          std::stringstream line(std::stringstream::in | std::stringstream::out);
          line << std::string(buffer);

          if (is_header)
          {
            //read header line
            long rows;
            long cols;
            
            if (line.good())
              line >> rows;
            else
            {
              std::cerr << "Error in file " << file << ": Could not get matrix dimensions (rows) in line " << linenum << std::endl;
              return 0;
            }
            
            if (line.good())
              line >> cols;
            else
            {
              std::cerr << "Error in file " << file << ": Could not get matrix dimensions (columns) in line " << linenum << std::endl;
              return 0;
            }
            if (!dense_format)
            {
              if (line.good())
                line >> nnz;
              else
              {
                std::cerr << "Error in file " << file << ": Could not get matrix dimensions (columns) in line " << linenum << std::endl;
                return 0;
              }
            }
            
            if (rows > 0 && cols > 0)
              mat.resize(rows, cols, false);
            
            is_header = false;
          }
          else
          {
            //read data
            if (dense_format)
            {
              double value;
              line >> value;
              mat(cur_row, cur_col) = value;
              
              if (++cur_row == static_cast<long>(mat.size1()))
              {
                //next column
                ++cur_col;
                cur_row = 0;
              }
            }
            else //sparse format
            {
              long row;
              long col;
              double value;
              
              //parse data:
              if (line.good())
                line >> row;
              else
              {
                std::cerr << "Error in file " << file << ": Parse error for matrix entry in line " << linenum << std::endl;
                return 0;
              }
              
              if (line.good())
                line >> col;
              else
              {
                std::cerr << "Error in file " << file << ": Parse error for matrix entry in line " << linenum << std::endl;
                return 0;
              }
              
              //take index_base base into account:
              row -= index_base;
              col -= index_base;
              
              if (line.good())
                line >> value;
              else
              {
                std::cerr << "Error in file " << file << ": Parse error for matrix entry in line " << linenum << std::endl;
                return 0;
              }
              
              if (row >= static_cast<long>(mat.size1()) || row < 0)
              {
                std::cerr << "Error in file " << file << " at line " << linenum << ": Row index out of bounds: " << row << " (matrix dim: " << mat.size1() << " x " << mat.size2() << ")" << std::endl;
                return 0;
              }
                  
              if (col >= static_cast<long>(mat.size2()) || col < 0)
              {
                std::cerr << "Error in file " << file << " at line " << linenum << ": Column index out of bounds: " << col << " (matrix dim: " << mat.size1() << " x " << mat.size2() << ")" << std::endl;
                return 0;
              }
              
              mat(row, col) = value;
              if (symmetric)
                mat(col, row) = value;
              
              if (++valid_entries == nnz)
                break;
              
            } //else dense_format
          }
        }
      }
      
      std::cout << linenum << " lines read." << std::endl;
      reader.close();
      return linenum;
    }
    

    template <typename MatrixType>
    long read_matrix_market_file(MatrixType & mat,
                                 const char * file,
                                 long index_base = 1)
    {
      return read_matrix_market_file_impl(mat, file, index_base);  
    }

    template <typename MatrixType>
    long read_matrix_market_file(MatrixType & mat,
                                 const std::string & file,
                                 long index_base = 1)
    {
      return read_matrix_market_file_impl(mat, file.c_str(), index_base);
    }
    
    template <typename ScalarType>
    long read_matrix_market_file(std::vector< std::map<unsigned int, ScalarType> > & mat,
                                 const char * file,
                                 long index_base = 1)
    {
      viennacl::tools::sparse_matrix_adapter<ScalarType> adapted_matrix(mat);
      return read_matrix_market_file_impl(adapted_matrix, file, index_base);
    }
    
    template <typename ScalarType>
    long read_matrix_market_file(std::vector< std::map<unsigned int, ScalarType> > & mat,
                                 const std::string & file,
                                 long index_base = 1)
    {
      viennacl::tools::sparse_matrix_adapter<ScalarType> adapted_matrix(mat);
      return read_matrix_market_file_impl(adapted_matrix, file.c_str(), index_base);
    }


    template <typename MatrixType>
    void write_matrix_market_file_impl(MatrixType const & mat, const char * file, long index_base)
    {
      std::ofstream writer(file);
      
      long num_entries = 0;
      for (typename MatrixType::const_iterator1 row_it = mat.begin1();
            row_it != mat.end1();
            ++row_it)
        for (typename MatrixType::const_iterator2 col_it = row_it.begin();
              col_it != row_it.end();
              ++col_it)
          ++num_entries;

      writer << "%%MatrixMarket matrix coordinate real general" << std::endl;
      writer << mat.size1() << " " << mat.size2() << " " << num_entries << std::endl;
      
      for (typename MatrixType::const_iterator1 row_it = mat.begin1();
            row_it != mat.end1();
            ++row_it)
        for (typename MatrixType::const_iterator2 col_it = row_it.begin();
              col_it != row_it.end();
              ++col_it)
          writer << col_it.index1() + index_base << " " << col_it.index2() + index_base << " " << *col_it << std::endl;
      
      writer.close();
    }

    template <typename ScalarType>
    void write_matrix_market_file(std::vector< std::map<unsigned int, ScalarType> > const & mat,
                                  const char * file,
                                  long index_base = 1)
    {
      viennacl::tools::const_sparse_matrix_adapter<ScalarType> adapted_matrix(mat);
      return write_matrix_market_file_impl(adapted_matrix, file, index_base);
    }

    template <typename ScalarType>
    void write_matrix_market_file(std::vector< std::map<unsigned int, ScalarType> > const & mat,
                                  const std::string & file,
                                  long index_base = 1)
    {
      viennacl::tools::const_sparse_matrix_adapter<ScalarType> adapted_matrix(mat);
      return write_matrix_market_file_impl(adapted_matrix, file.c_str(), index_base);
    }

    template <typename MatrixType>
    void write_matrix_market_file(MatrixType const & mat,
                                  const std::string & file,
                                  long index_base = 1)
    {
      write_matrix_market_file_impl(mat, file.c_str(), index_base);
    }

    
  } //namespace io
} //namespace viennacl

#endif